Is this skill compatible with any programming language?

Yes, the generator analyzes general repository structure and common patterns, making it language-agnostic for most standard software projects.

What sections are included in the generated documentation?

The generated file includes five specific sections: Overview, Folder Structure, Core Behaviors & Patterns, Conventions, and Working Agreements.

Does this skill modify my existing source code?

No, it performs a read-only analysis of your repository to generate documentation and does not alter your existing logic or configuration files.

What is an AGENTS.md file?

It is a specialized contributor guide designed specifically for AI agents to help them understand your project's architecture, patterns, and rules instantly.

How does this skill calculate character limits?

It uses a built-in LOC measurement tool to ensure the generated documentation is concise enough for AI context windows while remaining comprehensive.

Agents MD Generator

Name: Agents MD Generator
Author: buYoung

bybuYoung

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Collaboration Tools

Generates standardized contributor guides for AI agents by analyzing repository structure and code patterns.

About

The Agents MD Generator skill automates the creation of AGENTS.md files, which serve as essential onboarding documentation for AI agents collaborating on a codebase. By analyzing repository size via Lines of Code (LOC), folder structure, and existing architectural patterns, it produces a structured five-section guide covering project overviews, naming conventions, and working agreements. This ensures that any AI agent joining the project understands the technical constraints and behavioral expectations without manual documentation overhead, significantly streamlining AI-driven development workflows.

Key Features

Tailored working agreements for AI agent behavior
Standardized 5-section AGENTS.md generation
Dynamic character limit calculation based on Lines of Code (LOC)
4 GitHub stars
Automated repository analysis for structure and patterns
Read-only codebase inspection for safe analysis

Use Cases

Onboarding new AI agents to a complex legacy codebase
Standardizing documentation across microservices for AI compatibility
Establishing consistent coding conventions for AI-driven development

About

Key Features

Tailored working agreements for AI agent behavior
Standardized 5-section AGENTS.md generation
Dynamic character limit calculation based on Lines of Code (LOC)
4 GitHub stars
Automated repository analysis for structure and patterns
Read-only codebase inspection for safe analysis

Use Cases

Onboarding new AI agents to a complex legacy codebase
Standardizing documentation across microservices for AI compatibility
Establishing consistent coding conventions for AI-driven development